Traffic Prediction Comparison Hub
4 papers - avg viability 6.8
Top Papers
- TransportAgents: a multi-agents LLM framework for traffic accident severity prediction(8.0)
A traffic accident severity prediction tool that enhances LLMs with multi-agent frameworks for improved accuracy and reliability.
- CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction(8.0)
CAST-CKT enhances traffic flow prediction across cities with a chaos-aware framework, offering significant performance gains and uncertainty quantification.
- Metalearning traffic assignment for network disruptions with graph convolutional neural networks(7.0)
A meta-learning approach to traffic flow prediction that quickly adapts to network disruptions, enabling real-time rerouting and congestion management.
- Deep Learning Network-Temporal Models For Traffic Prediction(4.0)
Deep learning models for enhanced multivariate time series traffic prediction leveraging network-temporal correlations.